Terminated in academic year 2021/2022

Artificial Intelligence and Expert Systems

Type of study	Doctoral
Language of instruction	Czech
Code	155-0994/01
Abbreviation	UIES
Course title	Artificial Intelligence and Expert Systems
Credits	10
Coordinating department	Department of Applied Informatics
Course coordinator	doc. Mgr. Miroslav Černý, Ph.D.

Subject syllabus

1. State space and its properties, basic methods of uninformed and informed state space search
2. Resolution method of first order predicate calculus and its use in proving the truth of formulas, Horn clause
3. The concept of knowledge and expert system and ways of representing knowledge within these systems, knowledge base, data base of expert systems and basic principles applied in inference mechanisms of expert systems
4. Fuzzy language variable and its language values, formulas of multivalued fuzzy language logic, truth values of formulas
5. Fuzzy expert systems and their basic properties, architecture of diagnostic, planning and hybrid fuzzy expert systems, methodology of creating knowledge base of fuzzy expert systems, queries and interpretation of fuzzy oriented rule expert systems, selected economic applications of fuzzy expert systems

Literature

LUGER, G. F. Artificial Intelligence. Sixth Edition. Boston: Pearson Education, Inc. 2009. 743 pp. .
GIARRATANO, J. C. and G. D. RILEY. Expert Systems: Principles and Programming, Fourth Edition. Boston: Course Technology. 2004. .
BUCKLEY, J. J. and W. SILER. Fuzzy Expert Systems and Fuzzy Reasoning. Theory and Applications. First Edition. New York: John Wiley & Sons Inc. 2005. 424 pp. .

Advised literature

JACKSON, P. Introduction to Expert Systems. Third Edition. Edinburgh: Addison-Wesley. 1998. 560 pp. .
GHUANRONG, CH. and T. P. TRUNG. Introduction to Fuzzy Systems. First Edition. Boca Raton: Chapman&Hall/CRC. 2006. 332 pp. .
MERRITT, D. Expert Systems in Prolog. First Edition. Independently published. 2017. 239 pp. .

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